APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION

Journal Title: International Journal of New Economics and Social Sciences - Year 2018, Vol 8, Issue 2

Abstract

Currently, business analytics uses computerized platforms containing ready-made reporting formulas in the field of Business Intelligence. In recent years, software companies supporting enterprise management offer advanced applications of information-analytical Business Intelligence class systems consisting of modular development of these systems and combining business intelligence software with platforms that use data warehouse technology, multi-dimensional analytical processing software and data mining and processing applications. This article describes an example of this type of computerized analytical platform for business entities, which is included in analytical applications that allow quick access to necessary, aggregated and multi-criteria processed information. The software allows entrepreneurs and corporate managers as well as entities from the SME sector on the one hand to use embedded patterns of reports or analyzes, and on the other hand to self-develop and configure analyzes carried out, tailored to the specifics of a specific entity. Such analytical applications make it possible to build integrated risk management systems in the organization.<br/><br/>risk management, digitization of business processes, computerization of economic analyzes, corporate finance, Big Data, Business Intelligence, Internet, integrated risk management system<br/><br/>

Authors and Affiliations

Sylwia Gwoździewicz, Dariusz Prokopowicz, Jan Grzegorek, Martin Dahl

Keywords

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  • EP ID EP516953
  • DOI 10.5604/01.3001.0012.9925
  • Views 66
  • Downloads 0

How To Cite

Sylwia Gwoździewicz, Dariusz Prokopowicz, Jan Grzegorek, Martin Dahl (2018). APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION. International Journal of New Economics and Social Sciences, 8(2), 43-56. https://europub.co.uk/articles/-A-516953